HGFDB: a collective database of helmeted guinea fowl genomics-Reference-Cited by-同舟云学术

HGFDB: a collective database of helmeted guinea fowl genomics

Published:2021-01-01 Issue: Volume:2021 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Li Xuzhen¹²³^ORCID,Li Zhi⁴,Shen Quankuan⁵⁶⁷,Pan Yunbin²,Dong Xiao²^ORCID,Xu Zetan²,Duan Shengchang²,Li Yunfei²,Du Yuan²,Chen Shanshan⁸,Ma Zhaocheng⁹,Dong Yang³⁸¹⁰

Affiliation:

1. Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan 650201, China

2. Nowbio Biotechnology Company, No. 168 Yunjing Road, Kunming, Yunnan 650201, China

3. State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan 650201, China

4. Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan 650093, China

5. State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China

6. Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi 999070, Kenya

7. Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China

8. College of Biological Big Data, Yunnan Agriculture University, Kunming, Yunnan 650201, China

9. Shanghai Yangjing-Juyuan Experimental School, No 333 Pucheng Road, Pudong, Shanghai 200120, China

10. Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, Yunnan 650201, China

Abstract

Abstract As a vigorous and hardy and an almost disease-free game bird, the domestic helmeted guinea fowl (Numida meleagris, hereafter HGF) has attracted considerable attention in a large number of genetic study projects. However, none of the current/recent avian databases are related to this agriculturally and commercially important poultry species. To address this data gap, we developed Helmeted Guinea Fowl Database (HGFDB), which manages and shares HGF genomic and genetic data. By processing the data of genome assembly, sequencing reads and genetic variations, we organized them into eight modules, which correspond to ‘Home’, ‘Genome’, ‘Re-sequence’, ‘Gene’, ‘Variation’, ‘Download’, ‘Tools’ and ‘Help’, HGFDB provides the most comprehensive view of the HGF genome to date and will be relevant for future studies on HGF structural and functional genomics and genetic improvement. Database URL: http://hgfdb.ynau.edu.cn/

Funder

Digitalization of Biological Resource Project

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/baaa116/35534803/baaa116.pdf

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